Hi, I'm Ishaan Bhutada!

My journey into analytics did not begin with algorithms; it began with curiosity. I have always been fascinated by how data, when analyzed with intent, can turn everyday operations into measurable impact. That belief continues to shape my approach to solving complex business problems today.

At the Carlson School of Management, where I recently completed my Master’s in Business Analytics, I consulted for multiple organizations through the Carlson Analytics Lab. For Sun Country Airlines, I built a DistilBERT-based NLP pipeline to classify over 240,000 safety reports, reducing manual review time by 74% and providing real-time risk dashboards in Tableau. For a regional agri-nonprofit, I applied Python, R, and SQL to design a geospatial forecasting model that guided a $2 million warehouse expansion and cut logistics costs by 48%. I also used causal inference techniques such as Propensity Score Matching and Difference-in-Differences to measure operational efficiency improvements of 7.4%.

Before graduate school, I worked at the Union Bank of Switzerland, where I engineered SQL-based ETL pipelines, deployed CI/CD automation, and integrated cross-platform trade data to enhance compliance accuracy. These solutions improved audit-readiness by 32% and saved over 40 hours per week in manual effort.

Earlier, at Load and Road Incorporated in Japan, I supported the U.S. launch of a sensor-based smart teapot by developing Power BI dashboards to monitor campaign performance and building a customer churn model in Databricks using XGBoost and SHAP. This model improved retention by 28% and reduced data processing time by 38% through automated Python and SQL workflows.

Across these experiences, I have worked end-to-end across the analytics lifecycle - scoping business problems, engineering data pipelines, building predictive models, and designing executive dashboards that translate data into strategy.

I believe that the true value of analytics lies not in the models themselves but in the stories they tell and the actions they inspire. If you are building data-driven solutions that combine rigor with impact, I would love to connect.